Bayesian Field Theory by J. C. Lemm

Description:Bayesian field theory denotes a nonparametric Bayesian approach for learning functions from observational data. Based on the principles of Bayesian statistics, a particular Bayesian field theory is defined by combining two models: a likelihood model, providing a probabilistic description of the measurement process, and a prior model, providing the information necessary to generalize from training to non-training data.

Similar books

Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik - Kappa Research, LLCThis book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, sciences, finance, and other fields. It provides a clear and intuitive approach to these topics.(6308 views)

Correlation and Causality by David A. Kenny - John Wiley & Sons IncThis text is a general introduction to the topic of structural analysis. It presumes no previous acquaintance with causal analysis. It is general because it covers all the standard, as well as a few nonstandard, statistical procedures.(11355 views)

Probability and Mathematical Statistics by Prasanna Sahoo - University of LouisvilleThis book is an introduction to probability and mathematical statistics intended for students already having some elementary mathematical background. It is intended for a one-year junior or senior level undergraduate or beginning graduate course.(4131 views)

Seeing Theory: A visual introduction to probability and statistics by T. Devlin, J. Guo, D. Kunin, D. Xiang - Brown UniversityThe intent of the website and these notes is to provide an intuitive supplement to an introductory level probability and statistics course. The level is also aimed at students who are returning to the subject and would like a concise refresher ...(1959 views)